Moreover, to deal with the long-tailed data distribution problem [1]} introduced by the unbalanced pixel number between different classes, we propose a novel layer, which is named “Significance Aware Layer". By introducing this layer into the IB module, our framework takes the channel-wise significance of each semantic feature into consideration and keeps balanced information constraints between them based on their respective significance. We call this newly designed module as Significance-aware Information Bottleneck (SIB), the whole framework as Significance-aware Information Bottlenecked Adversarial Network (SIBAN).
